Energy Intelligence: smart insights for affordable clean energy
能源智能:对负担得起的清洁能源的智能见解
基本信息
- 批准号:10082419
- 负责人:
- 金额:$ 59.16万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Collaborative R&D
- 财政年份:2024
- 资助国家:英国
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
**enee.io the fitness tracker for energy systems.****enee.io increases access to reliable and affordable energy by improving the life and efficiency of energy systems.** Through plug-and-play sensors, mobile phone applications and web-based reporting, enee.io provides customers with the information they need to optimize energy usage, improve energy system health and safeguard backup power supplies.We focus on helping people in developing countries who pay disproportionately high amounts for energy and suffering from pollution caused by diesel generators. enee.io is the fitness tracker for energy systemsThe enee.io product is a low-cost plug-and-play intelligent energy monitoring system (iEMS). The iEMS consists of simple proprietary IoT sensors that are installed on each source of energy generation (solar, grid and diesel generators), storage (batteries) and consumption (residential or commercial & industrial premises). The collected data from the sensors is transmitted to the enee.io cloud based servers where data analysis is provided through our proprietary algorithms. Alerts, insights, and energy performance information is provided through our mobile and web applications.The EC10 project will incorporate AI into our platform to combine data to allow users to fully optimise their energy system. These include how to increase energy availability and resilience; identification of maintenance required to extend asset life and improve performance and total energy cost analysis.The iEMS is affordable and simple to use, representing a quantum leap as a data-driven enabler for households and businesses. We estimate savings of $1900 over 5 years for an $160 investment.The iEMS will increase access for millions of people, to reliable, affordable, and clean energy by providing users with the information they need to optimise their energy system. Allowing them to 'right size' their energy assets and minimise operational costs. Ultimately reducing the reliance on costly and highly polluting diesel generators.There are no other products available on the market that provide this combination of low-cost and cutting-edge technology
** enee.io的能源系统的健身追踪器。**** enee.io通过改善能源系统的生活和效率来增加获得可靠和负担得起的能源。** ** ******************并遭受柴油发电机造成的污染。 Enee.io是能量系统的健身追踪器ENEE.IO产品是一种低成本的插件智能能源监控系统(IEMS)。 IEM由简单的专有IOT传感器组成,这些传感器安装在每个能源发电源(太阳能,网格和柴油发电机),存储(电池)和消费(住宅或商业与工业场所)上。从传感器收集的数据传输到基于ENEE.IO的基于云的服务器,其中通过我们的专有算法提供了数据分析。通过我们的移动和Web应用程序提供了警报,见解和能量性能信息。EC10项目将AI纳入我们的平台,以组合数据,以使用户能够完全优化其能源系统。其中包括如何提高能源可用性和弹性;确定延长资产寿命并改善绩效和总能源成本分析所需的维护。IEM负担得起且易于使用,代表了对家庭和企业的数据驱动促进器的量子飞跃。我们估计5年内为160美元的投资估计节省了1900美元的节省。通过为用户提供优化其能源系统所需的信息,IEM将增加数百万人的访问权限,可靠,负担得起和清洁。让他们“合适”的能源资产并最大程度地减少运营成本。最终减少对昂贵和高度污染的柴油发电机的依赖。市场上没有其他产品可提供低成本和尖端技术的组合
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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其他文献
Metal nanoparticles entrapped in metal matrices.
- DOI:
10.1039/d1na00315a - 发表时间:
2021-07-27 - 期刊:
- 影响因子:4.7
- 作者:
- 通讯作者:
Stunting as a Risk Factor of Soil-Transmitted Helminthiasis in Children: A Literature Review.
- DOI:
10.1155/2022/8929025 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Aspirin use is associated with decreased inpatient mortality in patients with COVID-19: A meta-analysis.
- DOI:
10.1016/j.ahjo.2022.100191 - 发表时间:
2022-08 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Ged?chtnis und Wissenserwerb [Memory and knowledge acquisition]
- DOI:
10.1007/978-3-662-55754-9_2 - 发表时间:
2019-01-01 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
A Holistic Evaluation of CO2 Equivalent Greenhouse Gas Emissions from Compost Reactors with Aeration and Calcium Superphosphate Addition
曝气和添加过磷酸钙的堆肥反应器二氧化碳当量温室气体排放的整体评估
- DOI:
10.3969/j.issn.1674-764x.2010.02.010 - 发表时间:
2010-06 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
的其他文献
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{{ truncateString('', 18)}}的其他基金
An implantable biosensor microsystem for real-time measurement of circulating biomarkers
用于实时测量循环生物标志物的植入式生物传感器微系统
- 批准号:
2901954 - 财政年份:2028
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
Exploiting the polysaccharide breakdown capacity of the human gut microbiome to develop environmentally sustainable dishwashing solutions
利用人类肠道微生物群的多糖分解能力来开发环境可持续的洗碗解决方案
- 批准号:
2896097 - 财政年份:2027
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
A Robot that Swims Through Granular Materials
可以在颗粒材料中游动的机器人
- 批准号:
2780268 - 财政年份:2027
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
Likelihood and impact of severe space weather events on the resilience of nuclear power and safeguards monitoring.
严重空间天气事件对核电和保障监督的恢复力的可能性和影响。
- 批准号:
2908918 - 财政年份:2027
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
Proton, alpha and gamma irradiation assisted stress corrosion cracking: understanding the fuel-stainless steel interface
质子、α 和 γ 辐照辅助应力腐蚀开裂:了解燃料-不锈钢界面
- 批准号:
2908693 - 财政年份:2027
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
Field Assisted Sintering of Nuclear Fuel Simulants
核燃料模拟物的现场辅助烧结
- 批准号:
2908917 - 财政年份:2027
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
Assessment of new fatigue capable titanium alloys for aerospace applications
评估用于航空航天应用的新型抗疲劳钛合金
- 批准号:
2879438 - 财政年份:2027
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
CDT year 1 so TBC in Oct 2024
CDT 第 1 年,预计 2024 年 10 月
- 批准号:
2879865 - 财政年份:2027
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
- 批准号:
2890513 - 财政年份:2027
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
Understanding the interplay between the gut microbiome, behavior and urbanisation in wild birds
了解野生鸟类肠道微生物组、行为和城市化之间的相互作用
- 批准号:
2876993 - 财政年份:2027
- 资助金额:
$ 59.16万 - 项目类别:
Studentship
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Smart driving technology for non-invasive detection of age-related cognitive decline
用于无创检测与年龄相关的认知衰退的智能驾驶技术
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10484798 - 财政年份:2022
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$ 59.16万 - 项目类别:
Addressing the sustainability challenges of off-grid renewable energy systems: The smart community reverse innovation
解决离网可再生能源系统的可持续性挑战:智能社区逆向创新
- 批准号:
21K17930 - 财政年份:2021
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$ 59.16万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Collaborative Research: EAGER-DynamicData: Machine Intelligence for Dynamic Data-Driven Morphing of Nodal Demand in Smart Energy Systems
合作研究:EAGER-DynamicData:智能能源系统中节点需求动态数据驱动变形的机器智能
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合作研究:EAGER-DynamicData:智能能源系统中节点需求动态数据驱动变形的机器智能
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1462404 - 财政年份:2015
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